Multiscale Image Analysis with Stochastic Texture Differences

Abstract : We introduce a feature descriptor based on stochastic differences between random paths in spatially extended data, like an image. This descriptor behaves like a "texture gradient" and it is sensitive to both spatial and data scales. Applications to inferring characteristic scales in remotely sensed data is presented, together with multi-scale image analysis, and color edge-detection. The method is generic and can be applied to other types of vector or structured data.
Type de document :
Communication dans un congrès
Recent Advances in Electronics and Computer Engineering, Feb 2015, Roorkee, India. 2014, 〈http://www.iitr.ac.in/raece/〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01120159
Contributeur : Nicolas Brodu <>
Soumis le : lundi 23 mars 2015 - 10:55:22
Dernière modification le : mercredi 14 novembre 2018 - 13:54:11

Identifiants

  • HAL Id : hal-01120159, version 1

Collections

Citation

Nicolas Brodu, Hussein Yahia. Multiscale Image Analysis with Stochastic Texture Differences. Recent Advances in Electronics and Computer Engineering, Feb 2015, Roorkee, India. 2014, 〈http://www.iitr.ac.in/raece/〉. 〈hal-01120159〉

Partager

Métriques

Consultations de la notice

178

Téléchargements de fichiers

56